Data Analytics

The Cortana Analytics Suite (CAS) is made up of different components in Azure, allowing users to custom build an analytical application to suit a wide range of analytics scenarios such as real-time recommendations, customer churn forecasting, fraud detection, and predictive maintenance just to name a few.

As the amount of patient data continues to grow, healthcare networks and providers are turning to data analytics to convert raw clinical, operational and financial data into actionable knowledge to help improve performance and patient care with valuable insights in near-real time.

As businesses continue to grow, so does the amount of data. Enterprises today are struggling with storing, tracking and analyzing information on a daily basis, exposing businesses to inefficiency and security vulnerabilities.

Fortunately, cloud solutions like Microsoft’s Azure offer the capacity and tools needed for you to manage your growing data challenges, and realize the following benefits:

It is estimated that we create 2.5 quintillions (that’s 2.5 followed by 18 zeroes) bytes of data each day. It’s no surprise that enterprises are moving into the era of data-driven business opportunities. But, for a company is to make the most out of the big data it generates, it must take an assiduous approach to capturing and analyzing its data.

Microsoft Power BI (business intelligence) is a powerful analytics tool that helps companies of all sizes analyze data and share insights. With this technology, enterprises can monitor their business more closely and get instant answers with rich dashboards available for every device.

Today, demand forecasts are the foundation of many business decisions. With data production predicted to increase 44 times between 2009 and 2020, there’s a huge opportunity to expand our perspectives regarding factors influencing and driving demand, as well as identifying patterns by which data driven business decisions can be made.